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Konca, Ahmet Sami; Baltaci, Onder; Akbulut, Omer Faruk – International Journal of Assessment Tools in Education, 2022
This study aimed to develop a measurement tool to identify preschool children's problematic technology use levels and contribute to Turkish literature. The study group included in the exploratory factor analysis was composed of 357 voluntary children in the preschool period. The study group included in the confirmatory factor analysis, proximal…
Descriptors: Addictive Behavior, Computer Use, Technology, Test Construction
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Bayanova, Almira R.; Chistyakov, Alexey A.; Timofeeva, Maria O.; Nasonkin, Vladimir V.; Shulga, Tatiana I.; Vasyukov, Vitaly F. – Contemporary Educational Technology, 2022
Smartphones facilitate communication, education, information, and entertainment through a diverse array of mobile applications. Excessive smartphone use has become a significant societal issue. The research community has explored both the positive and negative consequences of mobile phone use. The phrase "problematic smartphone use"…
Descriptors: Psychometrics, Academic Achievement, Foreign Countries, Addictive Behavior
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Sahin, Cengiz – Turkish Online Journal of Educational Technology - TOJET, 2018
The purpose of this study is to develop a valid and reliable measurement tool to determine the social media addictions of secondary school, high school and university students. 998 students participated in the study. 476 students from secondary schools, high schools and universities participated in the first application during which the…
Descriptors: Social Media, Addictive Behavior, Factor Analysis, Factor Structure
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Kesici, Ahmet; Tunç, Nazenin Fidan – Universal Journal of Educational Research, 2018
This study was carried out to develop a scale for determining the level of digital addiction of the youth. In this study carried out with a group of 687 students from Siirt, Dicle and Erzincan Universities, a draft scale of 28 items based on the interviews with two students who spent a long time with digital tools and their friends, and on the…
Descriptors: Addictive Behavior, College Students, Test Validity, Test Reliability
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Taylor, Purcell; El-Sabawi, Taleed; Cangin, Causenge – Journal of American College Health, 2016
Objective: To improve the CAGE (Cut down, Annoyed, Guilty, Eye opener) questionnaire's predictive accuracy in screening college students. Participants: The sample consisted of 219 midwestern university students who self-administered a confidential survey. Methods: Exploratory factor analysis, confirmatory factor analysis, receiver operating…
Descriptors: College Students, Factor Analysis, Screening Tests, Factor Structure
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Kerimova, Melek; Gunuc, Selim – Journal of Education and Training Studies, 2016
The purpose of the present paper was to adapt Gunuc and Kayri's (2010) "Internet Addiction Scale," with show validity and reliability for many various sampling groups, into the Azerbaijani language. Another objective of the study is to determine the prevalence of Internet addiction among Azerbaijani adolescents and youth, which…
Descriptors: Addictive Behavior, Internet, Test Validity, Test Reliability
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Teo, Timothy; Kam, Chester – Journal of Psychoeducational Assessment, 2014
Following the call to ensure the validity of instruments used to assess users' level of Internet usage, this study examined the factor structure of the Internet Addiction Test-Adolescence version (IAT-A) when applied to a sample of young children in a multicultural society and assessed whether the items in the IAT-A were invariant by gender and,…
Descriptors: Test Validity, Addictive Behavior, Internet, Measures (Individuals)
Davis, R. J.; Balkin, Richard S.; Juhnke, Gerald A. – Measurement and Evaluation in Counseling and Development, 2014
Life balance is an important construct within the counseling profession. A validation study utilizing exploratory factor analysis and multiple regression was conducted on the Juhnke-Balkin Life Balance Inventory. Results from the study serve as evidence of validity for an assessment instrument designed to measure life balance.
Descriptors: Multiple Regression Analysis, Factor Analysis, Validity, Counseling Techniques